Chief Solution Architect (Pre-sales, AI + Data Transformation).

Accountabilities:

• Lead strategic pre-sales initiatives: Partner with sales teams to conduct early client discovery, identify business challenges, qualify opportunities, and translate complex requirements into compelling technical solutions and strategic proposals.

• Design advanced data and AI architectures: Develop scalable solutions across data engineering, analytics, machine learning, Generative AI, and Agentic AI, primarily leveraging Google Cloud Platform.

• Drive strategic client advisory: Facilitate executive workshops and technical discussions focused on AI strategy, cloud modernization, data platform transformation, and Generative AI readiness.

• Own solution scoping and commercial proposals: Lead technical estimation, project scoping, Statements of Work (SOWs), and Request for Proposal (RFP) responses in collaboration with sales and delivery stakeholders.

• Support high-value opportunities: Contribute to deal strategy, solution reviews, and technical positioning for strategic enterprise opportunities, particularly engagements valued at $1 million or more.

• Develop strategic architecture recommendations: Create compelling points of view and alternative architecture proposals that balance business impact, technical feasibility, implementation complexity, and cost efficiency.

• Build executive-level relationships: Establish credibility with C-suite executives, business decision-makers, enterprise architects, and technical stakeholders, acting as a trusted advisor throughout the transformation journey.

• Contribute to thought leadership and market positioning: Represent the organization at client meetings, industry conferences, partner events, executive dinners, and other strategic engagements.

• Develop industry-specific solutions: Collaborate with go-to-market teams to create presentations, strategic briefs, technical perspectives, and reusable solutions tailored to Telecommunications, Financial Services (FSI), Media, and Agencies.

• Strengthen technical standards: Work with architecture and technology leadership to establish best practices, technical standards, reusable architectures, and implementation guidelines for data and AI deployments.

• Enable internal teams: Share industry insights, emerging technology trends, discovery methodologies, and technical accelerators with sales and delivery teams to improve their effectiveness.

Requirements:

• 7–12 years of professional experience in data engineering, analytics, machine learning, cloud engineering, or solution architecture, including involvement in large-scale digital, data, or AI transformation initiatives.

• At least 3 years of experience in pre-sales, technical consulting, or client-facing advisory roles, with a proven ability to influence complex enterprise opportunities.

• Strong expertise in cloud-based architecture, including infrastructure design, data architecture, governance, application design, and enterprise technology modernization.

• Deep understanding of Generative AI and Agentic AI concepts, architectures, implementation approaches, and real-world enterprise applications.

• Strong hands-on knowledge of Google Cloud Platform (GCP) is preferred. Candidates with substantial AWS or Azure architecture experience will also be considered if they can demonstrate the ability to transition quickly to GCP.

• Experience designing and presenting end-to-end data, analytics, machine learning, and AI solutions that address complex business challenges.

• Proven experience contributing to strategic enterprise deals, including solution shaping, commercial discussions, technical proposals, and engagements valued at $1 million or more.

• Strong understanding of the consulting sales lifecycle, including discovery, opportunity qualification, solution design, estimation, SOW development, and RFP processes.

• Exceptional written and verbal communication skills, with the ability to translate complex technical concepts into clear business value for non-technical audiences.

• Confidence presenting to C-suite executives, facilitating strategic workshops, negotiating technical and commercial trade-offs, and influencing senior stakeholders.

• Strong consultative mindset, combining technical depth with commercial awareness and a focus on measurable customer outcomes.

• Experience in at least one of the following industries is highly desirable: Telecommunications, Financial Services, Media, or Agencies.

• Ability to collaborate effectively with multidisciplinary teams, build trust quickly, and operate autonomously in a strategic, fast-paced environment.

• Strong interest in emerging technologies, industry innovation, and contributing to technical thought leadership.

Benefits:

The original job description does not specify a detailed compensation or benefits package. However, the opportunity offers several professional advantages:

• Strategic leadership opportunity: Become the first dedicated hire in a new pre-sales function, helping define its vision, structure, and technical approach.

• High-impact projects: Shape and contribute to enterprise-scale data, cloud, and AI transformation initiatives.

• Executive exposure: Work directly with C-suite leaders, enterprise decision-makers, and senior technical stakeholders.

• Innovation-driven environment: Work with cutting-edge technologies across cloud computing, machine learning, Generative AI, and Agentic AI.

• Professional visibility: Represent the organization at industry events, conferences, partner sessions, and executive engagements.

• Career development: Strengthen your expertise in strategic consulting, enterprise architecture, AI transformation, and commercial solution leadership.

• Collaborative environment: Work alongside experienced sales, engineering, architecture, and delivery professionals.

• Remote work: Opportunity to work remotely from Canada.